A Machine Learning Approach to Volume Tracking in Multiphase Flow Simulations
datacite.relatedItem.firstPage | 39 | |
datacite.relatedItem.issue | 2 | |
datacite.relatedItem.relatedIdentifierType | ISSN | |
datacite.relatedItem.relatedItemIdentifier | 2311-5521 | |
datacite.relatedItem.relationType | IsPublishedIn | |
datacite.relatedItem.title | Fluids | |
datacite.relatedItem.volume | 10 | |
dc.contributor.author | Aaron Mak | |
dc.contributor.author | Mehdi Raessi | |
dc.date.accessioned | 2025-04-16T12:58:49Z | |
dc.date.available | 2025-04-16T12:58:49Z | |
dc.date.issued | 2025 | |
dc.identifier.doi | https://doi.org/10.3390/fluids10020039 | |
dc.identifier.other | jz000143-0044 | |
dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/18950 | |
dc.publisher | MDPI AG | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject.ddc | 530 | |
dc.title | A Machine Learning Approach to Volume Tracking in Multiphase Flow Simulations | |
dc.type | Article | |
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